Evaluation of commonsense knowledge for intuitive robotic service

Trung Ngo Lam, Haeyeon Lee, Katsuhiro Mayama, Makoto Mizukawa

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Human commonsense is required to improve quality of robotic application. However, to acquire the necessary knowledge, robot needs to evaluate the appropriateness of the data it has collected. This paper presents an evaluation method, by combining the weighting mechanism in commonsense databases with a set of weighting factors. The method was verified on our Basic-level Knowledge Network. We conducted questionnaire to collect a commonsense data set and estimate weighting factors. Result showed that, the proposed method was able to build Robot Technology (RT) Ontology for a smart "Bring something" robotic service. More importantly, it allowed robot to learn new knowledge when necessary. An intuitive human-robot interface application was developed as an example base on our approach.

本文言語English
ホスト出版物のタイトル2012 IEEE International Conference on Robotics and Automation, ICRA 2012
出版社Institute of Electrical and Electronics Engineers Inc.
ページ3679-3684
ページ数6
ISBN(印刷版)9781467314039
DOI
出版ステータスPublished - 2012
イベント 2012 IEEE International Conference on Robotics and Automation, ICRA 2012 - Saint Paul, MN, United States
継続期間: 2012 5月 142012 5月 18

出版物シリーズ

名前Proceedings - IEEE International Conference on Robotics and Automation
ISSN(印刷版)1050-4729

Conference

Conference 2012 IEEE International Conference on Robotics and Automation, ICRA 2012
国/地域United States
CitySaint Paul, MN
Period12/5/1412/5/18

ASJC Scopus subject areas

  • ソフトウェア
  • 制御およびシステム工学
  • 人工知能
  • 電子工学および電気工学

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